Adaptive Equalizer Correcting Target Amplitude for IQ Distortion
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Solution Overview
Problem
In digital coherent transmission methods, IQ distortion caused by noise, polarized wave fluctuations, and frequency offsets in the transmission path leads to significant signal degradation, as existing adaptive equalization techniques fail to adequately compensate for these issues when using algorithms that treat signal amplitude as a target value.
Innovation Solution
A signal processing device and method that includes an adaptive equalizer with a filter for equalization, an updater to adjust filter coefficients based on signal amplitude and target amplitude, and a corrector to adjust the target amplitude, thereby reducing IQ distortion and improving signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing adaptive equalization techniques are used to compensate for transmission path effects, then signal processing can be performed, but IQ distortion causes significant signal degradation that cannot be adequately compensated
Solution Approach 1:
The patent implements a feedback mechanism where the equalizer continuously monitors the signal quality and adjusts its coefficients accordingly. The system uses the received signal to update the equalization parameters, creating a closed-loop control that adapts to changing transmission conditions and effectively compensates for IQ distortion.
Solution Approach 2:
The patent dynamically changes the equalization parameters (filter coefficients) based on the detected signal characteristics. By adapting the equalization parameters in real-time according to the actual transmission path conditions, the system can effectively counteract IQ distortion and maintain signal quality.
2Productivity
If adaptive equalization is performed using algorithms that treat signal amplitude as a target value, then equalization can be achieved, but performance deteriorates under IQ distortion conditions
Solution Approach 1:
The patent transitions from static equalization algorithms to dynamic adaptive equalization. The equalizer coefficients are continuously updated based on the received signal statistics, allowing the system to adapt to varying transmission conditions and maintain high performance even under IQ distortion.
Solution Approach 2:
The patent incorporates a training phase or preliminary equalization step before normal operation. During this phase, the equalizer coefficients are pre-adjusted based on known training sequences or pilot signals, enabling the system to quickly converge and achieve good equalization performance from the start.
Data Source
AI summary
A signal processing device includes: a filter configured to perform an adaptive equalization process of a signal, on a basis of a filter coefficient; an updater configured to update the filter coefficient, on a basis of amplitude of the signal and a target value of the amplitude; and a corrector configured to correct the target value, on a basis of the amplitude of the signal.